Choose an account
Identify the exact public profile and polling interval. Record when collection starts and whether the platform returned a complete, partial or failed result.
SOLUTION BLUEPRINT · IN INTEGRATION
From a public post
to a research question.
Monitor a public account, detect newly collected posts, and give analysts a structured view of sentiment, possible asset exposure and the evidence behind each interpretation.
This is an integration blueprint. Live monitoring, model analysis and notification delivery are not enabled yet.POLICY SIGNAL WATCHLISTEXAMPLE
𝕏
Donald Trump public accountAccount identity and new post IDs must be verified
01
New public post observedpublished_at · collected_at · latency
02
Model interpretationsentiment · topics · affected assets · uncertainty
03
Human-reviewed alertEmail / Slack · no automatic trade
NO LIVE POSTS OR SIGNALS SHOWN
HOW THE PIPELINE WORKS
A signal is only useful if you know when and how it was seen.
Deduplicate posts
Compare stable post IDs with the last saved checkpoint. Preserve publication time, first observation time and a link to the original post.
Separate fact from model
Extract quoted claims and topics, then ask a model for sentiment and potential asset links. Keep its rationale and confidence separate from observed facts.
Route for review
Send email or Slack only after the monitoring and delivery connectors are configured. Include the post URL, timestamps, limitations and analyst review link.
ILLUSTRATIVE CASE · NOT A LIVE ALERT
Monitor policy language. Test exposure. Keep the analyst in charge.
For a public post from Donald Trump, an agent can compare the observed text with a watchlist of trade policy, energy and agriculture topics. It can propose affected instruments as hypotheses, with both bullish and bearish paths and the evidence needed to check them.
- Post evidence: exact URL, author handle, published and collected timestamps.
- Model output: topic, directional hypotheses, rationale, confidence and counterarguments.
- Research checks: price reaction, exposure mapping, duplicate news and broader context.
SCHEMA PREVIEW / MODEL ANALYSIS
{
"type": "market_impact_hypothesis",
"postId": "...",
"publishedAt": "2026-...Z",
"analyzedAt": "2026-...Z",
"status": "requires_human_review",
"analysis": {
"topics": ["trade_policy"],
"sentiment": "uncertain",
"assets": [{
"symbol": "...",
"direction": "scenario_dependent",
"rationale": "...",
"counterargument": "...",
"confidence": 0.4
}],
"uncertainty": "..."
}
}AGENT CONNECTION
Bring the workflow into your own tools.
Use the AxisDatum Agent Skill for data selection, schema interpretation and evidence checks. The existing public API serves geographic observations. Commerce and social routes are gated until data rights and operating controls are ready.